Instructions to use fal/Wan2.1-T2V-14B-Alpha-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/Wan2.1-T2V-14B-Alpha-FlashPack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/Wan2.1-T2V-14B-Alpha-FlashPack", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6c3996a61104f8add43f15aa5ce2e98262d6b31b22b4bfd79eda5fbbd22a54b
- Size of remote file:
- 1.02 GB
- SHA256:
- c2595374f518cd672008362686886f38a8c0e9d8011a475fc028671cb7e2e7a2
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